Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023): Volume V

Author:   Yi Qu ,  Mancang Gu ,  Yifeng Niu ,  Wenxing Fu
Publisher:   Springer Verlag, Singapore
Edition:   1st ed. 2024
Volume:   1175
ISBN:  

9789819710942


Pages:   511
Publication Date:   21 April 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023): Volume V


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Author:   Yi Qu ,  Mancang Gu ,  Yifeng Niu ,  Wenxing Fu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Nature
Edition:   1st ed. 2024
Volume:   1175
ISBN:  

9789819710942


ISBN 10:   9819710944
Pages:   511
Publication Date:   21 April 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control.- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents.- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion.- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling.- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles.- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel.- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm.- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference.- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis.- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.

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